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Datasets:
Intellexus
/
MoraLink

Tasks:
Text Retrieval
Modalities:
Tabular
Text
Formats:
json
Languages:
English
Size:
1K - 10K
Tags:
retrieval
benchmark
fables
morals
narrative
Libraries:
Datasets
pandas
Polars
License:
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MoraLink / README.md
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metadata 
license: cc-by-nc-4.0
language:
  - en
task_categories:
  - text-retrieval
pretty_name: MoraLink
size_categories:
  - n<1K
tags:
  - retrieval
  - benchmark
  - fables
  - morals
  - narrative
configs:
  - config_name: fables
    data_files:
      - split: test
        path: data/fables.json
  - config_name: queries
    data_files:
      - split: test
        path: data/queries.json
  - config_name: qrels
    data_files:
      - split: test
        path: data/qrels.json
  - config_name: clusters
    data_files:
      - split: test
        path: data/clusters.json
  - config_name: summaries-gemini-3-flash
    data_files:
      - split: test
        path: summaries/gemini-3-flash.json
  - config_name: summaries-gemma-4-e2b
    data_files:
      - split: test
        path: summaries/gemma-4-e2b.json
  - config_name: summaries-gemma-4-e4b
    data_files:
      - split: test
        path: summaries/gemma-4-e4b.json
  - config_name: summaries-gemma-4-31b
    data_files:
      - split: test
        path: summaries/gemma-4-31b.json

MoraLink

MoraLink is a moral-to-fable retrieval benchmark. Given a short moral lesson, a retrieval system must rank the fables that express that lesson.

MoraLink is derived from the English MORABLES dataset and contains:

  • 709 fables
  • 668 unique moral queries
  • 558 moral groups
  • 1,085 query-to-fable relevance labels

Some moral queries have one relevant fable and others have several. The benchmark therefore uses multi-positive relevance labels.

Main files

Benchmark data

  • data/fables.json: The 709 fable documents. Each row contains doc_id, title, text, and the original MORABLES alias.
  • data/queries.json: The 668 moral queries. Each row contains the query text, moral-group information, and relevant fable IDs.
  • data/qrels.json: The 1,085 query-to-fable relevance labels used for evaluation.
  • data/clusters.json: The final 558 moral groups.
  • data/moral_to_cluster.json: The mapping from original moral records to the final moral groups.

Generated summaries

The summaries/ directory contains the four frozen 709-fable summary collections used in the MoraLink experiments:

  • Gemini 3 Flash
  • Gemma 4 E2B
  • Gemma 4 E4B
  • Gemma 4 31B

Each summary file contains the prompt variants generated for every fable. The exact prompts, model identifiers, generation settings, file hashes, and experiment mapping are in metadata/summary-prompts.json and metadata/summary-manifest.json.

The Gemini file preserves one API error placeholder for gibbs_137_584. This is intentional because the reported experiments used that frozen file. See the manifest for details.

Annotation records

The annotation/ directory contains the moral-grouping protocol, the surviving accepted and rejected decisions, the 23 documented moral-text edits, and the original-annotator confirmations used to finalize the release.

Rankings and analysis files

  • rankings/manifest.json: public metadata for the 144 official zero-shot runs.
  • rankings/*.json: compact top-10 rankings for all 144 runs.
  • analysis/per_query_paper_metrics.csv.gz: 96,192 per-query metric rows used to reproduce the paper-compatible MRR and the one-versus-several analysis.
  • analysis/word_overlap_rank_changes.csv.gz: 106,212 per-query rows used to reproduce the 159 query-summary word-overlap comparisons.

The compact rankings do not include every document below rank 10. The per-query paper-metric file stores the reciprocal-rank contribution needed when the first relevant fable is below rank 10.

Loading the data 

from datasets import load_dataset

fables = load_dataset("Intellexus/MoraLink", "fables", split="test")
queries = load_dataset("Intellexus/MoraLink", "queries", split="test")
qrels = load_dataset("Intellexus/MoraLink", "qrels", split="test")
summaries = load_dataset(
    "Intellexus/MoraLink",
    "summaries-gemini-3-flash",
    split="test",
)

The generated-summary files use the original MORABLES alias in original_fable_id. Join this field with the alias field in the fable collection.

Reproducibility

All released files are frozen copies of the files used in the reported experiments. FILE_HASHES.sha256 contains a SHA-256 hash for every released file.

The release was validated as four summary collections with 709 rows each, 144 compact rankings with 668 queries each, and 558 moral groups, including 469 singleton groups and 89 groups with several fables. There are no unresolved annotation records.

License and source

MoraLink is derived from MORABLES and follows its CC BY-NC 4.0 license. See LICENSE.md and NOTICE.md for the full reuse conditions, source attribution, and generator information.

Generated summaries may also be subject to the terms of the named model or service provider.

Scope

MoraLink studies English-language Western fable traditions represented in MORABLES. It should not be treated as a general benchmark of moral reasoning across languages or cultures.